Llama 4 Behemoth
Meta
Overall Trust Score
Meta's largest and most capable open-source Llama 4 model with exceptional mathematical reasoning and knowledge. Designed for enterprises requiring state-of-the-art performance with open-source flexibility.
Trust Vector
Performance & Reliability
Exceptional performance on mathematical reasoning (95% MATH). Strong general knowledge (73.7% MMLU). Open-source model offering enterprise-grade capabilities.
task accuracy code88
task accuracy reasoning95
task accuracy general90
output consistency89
latency p50Value: 2.8s
latency p95Value: 5.2s
context windowValue: 128,000 tokens
uptime95
Security
Good baseline security with self-hosted deployment offering full control. Additional safety layers recommended for production.
prompt injection resistance80
jailbreak resistance81
data leakage prevention85
output safety82
api security84
Privacy & Compliance
Exceptional privacy with self-hosted deployment. Full control over data residency, retention, and compliance. No data shared with Meta.
data residencyValue: User-controlled
training data optout98
data retentionValue: User-controlled
pii handling92
compliance certifications94
zero data retention98
Trust & Transparency
Strong transparency as open-source model. Good training data disclosure. Customizable guardrails for specific use cases.
explainability86
hallucination rate84
bias fairness83
uncertainty quantification85
model card quality92
training data transparency87
guardrails90
Operational Excellence
Good operational maturity with strong open-source ecosystem. Requires infrastructure expertise for deployment and monitoring.
api design quality85
sdk quality86
versioning policy88
monitoring observability78
support quality82
ecosystem maturity87
license terms90
✨ Strengths
- •Industry-leading mathematical reasoning (95% MATH)
- •Strong general knowledge (73.7% MMLU)
- •Complete data sovereignty with self-hosted deployment
- •Open-source model with full transparency
- •No data retention or sharing concerns
- •Can achieve HIPAA and other compliance requirements
⚠️ Limitations
- •Requires significant infrastructure for deployment
- •Higher latency than smaller models (~2.8s p50)
- •Uptime and performance depend on hosting infrastructure
- •Requires expertise to deploy and maintain
- •No managed API service from Meta
- •Large model size requires substantial compute resources
📊 Metadata
Use Case Ratings
code generation
Strong coding capabilities. Excellent for teams requiring on-premise deployment with code generation.
customer support
Good for customer support with self-hosted deployment for data privacy.
content creation
Strong content creation with excellent knowledge base (73.7% MMLU).
data analysis
Exceptional mathematical reasoning (95% MATH) ideal for complex data analysis.
research assistant
Excellent for research with strong mathematical and scientific reasoning.
legal compliance
Strong choice for legal applications requiring on-premise deployment and data sovereignty.
healthcare
Excellent for healthcare with self-hosted deployment enabling HIPAA compliance.
financial analysis
Outstanding mathematical reasoning (95% MATH) ideal for financial modeling.
education
Excellent for education, especially STEM subjects. Strong mathematical reasoning.
creative writing
Good creative writing capabilities, though not the primary strength.